What tools does this skill require?

It utilizes standard environment tools including Bash, File I/O (Read/Write), and WebSearch to conduct its various validation steps.

Does this skill work with other Claude Code skills?

Yes, Step 3 of the workflow is specifically dedicated to integration testing to ensure the skill works seamlessly with its dependencies.

How long does a full testing cycle take?

A comprehensive testing run typically takes between 1.5 and 3 hours, ensuring deep validation rather than just surface-level checks.

What is the primary purpose of the Testing Workflow skill?

It provides a standardized, sequential process to verify that a Claude Code skill functions correctly across examples, real-world scenarios, and integrations.

Testing Workflow

Name: Testing Workflow
Author: adaptationio

byadaptationio

Security & Testing

Orchestrates a comprehensive, multi-step testing sequence to validate skill functionality, integration compatibility, and structural integrity.

About

The Testing Workflow skill provides a rigorous four-step validation framework specifically designed for Claude Code environments. It ensures that every code example, real-world scenario, and skill-to-skill integration works as intended before deployment. By combining automated structural checks with hands-on functional testing, it helps developers maintain high-quality AI skill repositories and prevent regressions after feature updates. This skill is an essential tool for maintaining professional-grade reliability in custom Claude Code implementations.

Key Features

Cross-skill integration audits to ensure ecosystem compatibility
Scenario-based testing for realistic use-case validation
Automated extraction and execution of skill examples
0 GitHub stars
Structural integrity checks via integrated skill-validator
Detailed pass/fail reporting for quick debugging

Use Cases

Verifying that feature updates haven't broken existing integrations
Conducting pre-deployment validation for new Claude Code skills
Ensuring documentation and examples remain functional and accurate

About

Key Features

Cross-skill integration audits to ensure ecosystem compatibility
Scenario-based testing for realistic use-case validation
Automated extraction and execution of skill examples
0 GitHub stars
Structural integrity checks via integrated skill-validator
Detailed pass/fail reporting for quick debugging

Use Cases

Verifying that feature updates haven't broken existing integrations
Conducting pre-deployment validation for new Claude Code skills
Ensuring documentation and examples remain functional and accurate